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稀疏傅里叶变换方法进行子串/模式匹配

Sub-string/Pattern Matching in Sub-linear Time Using a Sparse Fourier Transform Approach
课程网址: https://videolectures.net/videos/kdd2017_janakiraman_transform_ap...  
主讲教师: Nagaraj T. Janakiraman
开课单位: KDD 2017研讨会
开课时间: 2017-12-01
课程语种: 英语
中文简介:
我们考虑查询长度为N位的字符串(或数据库)的问题,以确定长度为M的子字符串(查询)出现的所有位置,这些位置要么恰好出现在查询的汉明距离K以内。我们假设原始信号的草图可以离线计算并存储。使用基于稀疏傅里叶变换计算的方法,我们表明所有这些匹配都可以在亚线性时间内以高概率确定。
课程简介: We consider the problem of querying a string (or, a database) of length N bits to determine all the locations where a substring (query) of length M appears either exactly or is within a Hamming distance of K from the query. We assume that sketches of the original signal can be computed offline and stored. Using a sparse Fourier transform computation based approach, we show that all such matches can be determined with high probability in sub-linear time.
关 键 词: 稀疏傅里叶; 亚线性时间; 子串模式匹配
课程来源: 视频讲座网
数据采集: 2024-11-27:liyq
最后编审: 2024-11-27:liyq
阅读次数: 2